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At a Glance
Market Segments
Small-Business (43.5% of reviews)
Enterprise (38.8% of reviews)
Entry-Level Pricing
Free 1 User With One-Time Purchase
No pricing available
Anaconda AI Platform
Star Rating
(235)4.5 out of 5
Market Segments
Small-Business (43.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free 1 User With One-Time Purchase
Browse all 4 pricing plansAzure Machine Learning
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (38.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Machine LearningSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Azure Machine Learning excels in its Managed Service capabilities, scoring 8.8, which allows for seamless integration and management of machine learning workflows. In contrast, Anaconda's score of 8.4 indicates it may require more manual intervention for similar tasks.
- Reviewers mention that Azure Machine Learning offers superior Scalability with a score of 9.2, making it ideal for enterprises needing to handle large datasets and complex models. Anaconda, with a score of 8.8, may not scale as efficiently for larger applications.
- G2 users highlight Azure Machine Learning's Model Training capabilities, scoring 8.8, which includes robust support for pre-built algorithms and feature engineering. Anaconda's score of 8.9 is competitive, but users note that it may lack some of the advanced features found in Azure.
- Reviewers mention that Azure Machine Learning's AI Inference Speed is a standout feature, providing faster model predictions, which is crucial for real-time applications. Anaconda does not specifically highlight this feature, leading to concerns about its performance in time-sensitive scenarios.
- Users on G2 appreciate Azure Machine Learning's Collaboration tools, scoring 8.6, which facilitate teamwork across data science projects. Anaconda, while offering collaboration features, does not receive the same level of praise, with users indicating it could improve in this area.
- Reviewers say that Azure Machine Learning's Documentation Quality is highly rated, providing clear guidance and resources for users, which is essential for onboarding and troubleshooting. Anaconda's documentation, while helpful, does not receive the same level of acclaim, leading to some user frustration.
Pricing
Entry-Level Pricing
Anaconda AI Platform
Free
Free
1 User With One-Time Purchase
- Basic workspace for the student or practitioner
- 5GB for shareable, cloud-hosted notebooks
- Thousands of curated packages
Azure Machine Learning
No pricing availableFree Trial
Anaconda AI Platform
Free Trial is available
Azure Machine Learning
No trial information availableRatings
Meets Requirements
9.0
146
8.5
81
Ease of Use
8.7
154
8.5
80
Ease of Setup
8.5
81
8.3
57
Ease of Admin
8.7
24
8.3
49
Quality of Support
8.4
127
8.6
74
Has the product been a good partner in doing business?
9.1
21
8.6
47
Product Direction (% positive)
9.2
138
9.0
80
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.6
110
8.6
22
Model Development
8.5
110
8.6
51
7.8
104
8.9
54
8.2
112
8.3
53
8.5
114
8.7
52
Model Development
8.3
102
8.4
21
Machine/Deep Learning Services
8.2
107
8.1
45
8.5
109
7.9
45
8.4
108
7.8
38
8.4
106
8.2
42
Machine/Deep Learning Services
8.5
102
8.7
21
8.4
99
8.5
21
Deployment
8.2
109
8.8
50
8.5
114
8.7
51
8.3
112
8.9
51
Generative AI
8.2
57
8.5
10
7.8
55
8.2
10
6.9
55
7.5
10
Agentic AI - Data Science and Machine Learning Platforms
7.4
43
Not enough data
7.5
43
Not enough data
7.9
43
Not enough data
7.7
42
Not enough data
7.9
40
Not enough data
7.3
44
Not enough data
7.6
43
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Not enough data
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Anaconda AI Platform and Azure Machine Learning are categorized as Data Science and Machine Learning Platforms
Unique Categories
Anaconda AI Platform has no unique categories
Azure Machine Learning is categorized as MLOps Platforms, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Anaconda AI Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Azure Machine Learning
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
23.1%
Computer Software
20.4%
Higher Education
7.0%
Education Management
5.9%
Research
4.3%
Other
39.2%
Information Technology and Services
28.2%
Computer Software
14.1%
Management Consulting
8.2%
Education Management
5.9%
Higher Education
4.7%
Other
38.8%
Discussions
Is Anaconda free for companies?
2 Comments
SP
Don't know, but it is free for students. if you are student, then u can install and use it for free of cost.Read more
How to create the private environment in the anaconda?
1 Comment
G2
After opening the ANACONDA, there Environment option below Home, by clicking create we can create private environments, also if you already have private...Read more
Is there any way to say goodbye to pip install in Anaconda Enterprise
1 Comment
A_
Not yet as of nowRead more
What is Azure Machine Learning Studio used for?
1 Comment
AR
In short, to build, deploy, and manage high-quality models faster and with confidence.Read more
Azure Machine Learning has no more discussions with answers
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